Diferencia entre revisiones de «GIC-experimental-databases»
De Grupo de Inteligencia Computacional (GIC)
Sin resumen de edición |
Sin resumen de edición |
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* [[GIC-experimental-databases/OASIS_deformation_feature_vectors | Feature sets extracted from a subset of 98 females from OASIS database, obtained from correlation measures on non linear transformation features]] | * [[GIC-experimental-databases/OASIS_deformation_feature_vectors | Feature sets extracted from a subset of 98 females from OASIS database, obtained from correlation measures on non linear transformation features]] | ||
* [[media:Alzheimer_OASIS_VBM_data.zip | Experimental database of features obtained from the VBM of a subset of the OASIS database for the classification of Alzheimer Disease patients versus controls]] | * [[media:Alzheimer_OASIS_VBM_data.zip | Experimental database of features obtained from the VBM of a subset of the OASIS database for the classification of Alzheimer's Disease patients versus controls]] | ||
* [[GIC-experimental-databases/Whole_OASIS_deformation_feature_vectors | Experimental database of features obtained from nonlinear registration of the whole OASIS database for the classification of Alzheimer's Disease patients versus controls]] | |||
* [[media:Fsl_jacobianmatrix_patch.tar.gz | Patch for FSL 4.1.9 code to change fnirtfileutils to obtain full Jacobian matrices from the warpfields.]] [[media:Fnirtfileutils.tar.gz | Binary FSL 4.1.9 fnirtfileutils for GNU/Linux 64 bits]] | * [[media:Fsl_jacobianmatrix_patch.tar.gz | Patch for FSL 4.1.9 code to change fnirtfileutils to obtain full Jacobian matrices from the warpfields.]] [[media:Fnirtfileutils.tar.gz | Binary FSL 4.1.9 fnirtfileutils for GNU/Linux 64 bits]] |
Revisión del 18:39 3 oct 2013
Robots imagery
Remote Sensing
Brain MRI
- Patch for FSL 4.1.9 code to change fnirtfileutils to obtain full Jacobian matrices from the warpfields. Binary FSL 4.1.9 fnirtfileutils for GNU/Linux 64 bits
- NAMIC: Post-processed subjects, masks and correlation values and features extracted for the work about schizophrenia detection using diffusion weighted images from the NAMIC: Brain Multimodality database. Published in Neural Networks World.
Shape Recognition